Shipment of vehicles with Android Automotive-based In-Vehicle Infotainment (IVI) systems will reach 36 million shipments in 2030, ABI Research report said.
This indicates that shipment of vehicles with Android Automotive-based In-Vehicle Infotainment (IVI) systems will overtake shipments of cars with QNX-based IVI systems in 2027, and vehicles with Automotive-Grade Linux (AGL)-based IVI systems in 2029.
“The migration from closed systems to open-source platforms, such as AGL, provides savings in development due to the enormous community of developers. Therefore, carmakers like Toyota and Audi have migrated from QNX to AGL,” Maite Bazerra, Smart Mobility and Automotive Research Analyst at ABI Research, said.
However, with Google entering the automotive segment and bringing the first Android Automotive into a car in 2020 in collaboration with Aptiv, both QNX and AGL are losing space.
Android Automotive is ideal for mass-market vehicles because it contains the main automotive extensions (e.g., audio, navigation, and Bluetooth stacks) pre-developed, reducing time and cost of development, even in comparison to AGL.
Built-in Google services provide access to other connected devices and a smartphone-like experience to the cockpit at lower costs.
The report said a focus on improving in-vehicle perception to advance automotive safety will drive the adoption of camera-based driver monitoring systems, resulting in $2.1 billion in revenue in 2030, is another Smart Mobility and Automotive trend highlighted in the whitepaper.
The technology will now be featured in the European New Car Assessment Programme’s (EuroNCAP) testing protocols and will be mandated in the European Union (EU) from 2022, the report said.
“While the European Commission (EC) mandate will also cover Autonomous Electronic Braking (AEB), this will have the effect of reinforcing an already high penetration rate, whereas the Driver Monitoring System (DMS) growth is set to outperform all other active safety Advanced Driver-Assistance Systems (ADAS) due to minimal adoption to date,” says James Hodgson, principal analyst at ABI Research.
Core applications will include fatigue detection and attentiveness monitoring, with premium OEMs differentiating through value-added functions, such as gesture control. DMS will play a key role in monitoring driver engagement in semi-autonomous functions.